We evaluate our approach on the QABriefs dataset introduced by [1]} using a wide range of automatic metrics, and show that Varifocal performs the best among the different systems considered.
In addition, we conduct a human evaluation on questions generated by four different systems and gold standard questions based on four criteria: a) intelligibility, b) clarity, c) relevance, and d) informativeness.
The results show that Varifocal generates more intelligible, clear, relevant, and informative questions than the other systems, corroborating the results of the automatic evaluation.Our code is available on https://github.com/nedjmaou/Varifocal_Fact_Checking_QG
